A conversation that examines how autonomous vehicles operate across different levels of automation, including different approaches to the technology, as well as a discussion of safety implications and the evolving regulatory landscape.

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A deep dive into Anthropic’s latest AI releases—Claude Sonnet 4.5 and Haiku 4.5—covering extended agentic autonomy, memory innovations, sharper situational awareness and improved alignment and safety metrics.

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This week on “Paul, Weiss Waking Up With AI,” Katherine Forrest and Scott Caravello discuss OpenAI’s Sora 2 model and the rapid evolution of AI-generated video and audio—what it enables, why it matters and the legal and ethical questions it raises.

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In this week’s episode of “Paul, Weiss Waking Up With AI,” Katherine Forrest, Scott Caravello and Matthew Robinson unpack an enacted bill out of California that amends the state’s existing antitrust laws to address algorithmic price fixing in the age of AI.

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This week on “Paul, Weiss Waking Up With AI,” Katherine Forrest and Scott Caravello dissect major AI legislative developments related to California’s SB 53, as well as New York’s RAISE Act and a newly introduced federal AI bill.

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On this week’s episode of “Paul, Weiss Waking Up With AI,” Katherine Forrest examines how AI generalization, world models and physical embodiment converge, highlighting 2025 advances in humanoid robotics and what they mean for AGI, common sense and real-world autonomy.

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This week on “Paul, Weiss Waking Up With AI,” Katherine Forrest discusses the concept of social contracts and how they might evolve as AI advances toward superintelligence.

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On this week’s episode of “Paul, Weiss Waking Up With AI,” Katherine Forrest explores “grokking,” an emergent learning phenomenon where AI models continue to learn and begin to generalize well after training appears complete.

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This week on “Paul, Weiss Waking Up With AI,” Katherine Forrest breaks down the concept of AI workflows, explaining what they are, how they function in both everyday and business contexts and why understanding them is essential for organizations and compliance professionals.

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In this episode of “Paul, Weiss Waking Up With AI,” Katherine Forrest explores the importance of understanding AI model provenance—where models come from, how they're built and why tracking their history is essential for safety, liability and regulatory compliance, especially as agentic AI systems become more prevalent.

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